[go: up one dir, main page]

US9143363B2 - Method for channel estimation in vehicle-to-environment communication and communication device arranged therefor - Google Patents

Method for channel estimation in vehicle-to-environment communication and communication device arranged therefor Download PDF

Info

Publication number
US9143363B2
US9143363B2 US14/112,478 US201214112478A US9143363B2 US 9143363 B2 US9143363 B2 US 9143363B2 US 201214112478 A US201214112478 A US 201214112478A US 9143363 B2 US9143363 B2 US 9143363B2
Authority
US
United States
Prior art keywords
model
convergence
channel estimation
parameters
environment
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
US14/112,478
Other languages
English (en)
Other versions
US20140050258A1 (en
Inventor
Marc Menzel
Sighard Schräbler
Ulrich Stählin
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Aumovio Germany GmbH
Original Assignee
Continental Automotive GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Continental Automotive GmbH filed Critical Continental Automotive GmbH
Assigned to CONTINENTAL AUTOMOTIVE GMBH reassignment CONTINENTAL AUTOMOTIVE GMBH ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: SCHR?BLER, SIGHARD, MENZEL, MARC, ST?HLIN, ULRICH
Publication of US20140050258A1 publication Critical patent/US20140050258A1/en
Application granted granted Critical
Publication of US9143363B2 publication Critical patent/US9143363B2/en
Assigned to Continental Automotive Technologies GmbH reassignment Continental Automotive Technologies GmbH ASSIGNMENT OF ASSIGNOR'S INTEREST Assignors: CONTINENTAL AUTOMOTIVE GMBH
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202Channel estimation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/391Modelling the propagation channel
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/26Systems using multi-frequency codes
    • H04L27/28Systems using multi-frequency codes with simultaneous transmission of different frequencies each representing one code element
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04L12/26
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/26Systems using multi-frequency codes
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks

Definitions

  • the present invention relates to a method for channel estimation in vehicle-to-environment communication (C2X communication), in which a model of the environment influencing vehicle-to-environment communication is generated from parameters of vehicle-to-environment communication.
  • C2X communication vehicle-to-environment communication
  • the quality of the model for the environment is ascertained by the convergence of the parameters used in the model.
  • the data to be transmitted is initially modulated digitally in a digital transmission system. This is also referred to as symbol mapping.
  • a continuous-time baseband signal is generated in a pulse shape filter. Before the signal is able to be transmitted via the actual transmission channel, the baseband signal is transformed into a so-called bandpass signal, for example, with the aid of a quadrature modulator.
  • the reception signal is transformed back into a baseband signal via a corresponding quadrature modulator, specific interference suppression mechanisms possibly following after this inverse transformation.
  • the transmission channel is determined by the physical communications properties of the system. However, it is possible to match the transmitting signal optimally to the properties of the channel using a suitable choice of transmission and modulation methods, which are influenced by the environment of the transmitter and the receiver. On the receiver side, so-called channel estimation is then frequently carried out in order to be able to compensate for distortion occurring via the transmission channel. For this purpose, reference signals are often inserted into the data stream at the transmitter, via which the receiver receives information about the channel transfer function. Based on this information, it is then possible to estimate the channel transfer function with the aid of a model.
  • the known channel estimation methods generate a model of the environment, information from the communication itself being used.
  • a radar system designed as an environment sensor is known from DE 10256620 A1, which has means for both sensing and data transmission, these means being able to be operated simultaneously using different frequency ranges for sensing and data transmission.
  • WO 2006/073691 A2 describes a method in which information about the relative distance between the vehicles is obtained by evaluating a communication channel between two vehicles. For this purpose, current transmission power or transmission power calculated in a model and received transmission strength are taken into consideration, the receiver ascertaining the distance from the transmission power and the received transmission strength based on a model of free radio transmission. This necessarily requires communication between the various communications partners.
  • satellite positioning systems may be used for improving the determination of the relative distance, transmission losses being determined on the transmission channel between vehicles having a satellite positioning system and being correspondingly used on vehicles without a satellite positioning system, in order to improve the distance estimation for vehicles in the same vehicle cluster.
  • an alternative sensor system must be used in order to obtain an assessment of the environment.
  • An object of the present invention is therefore to provide an option of inferring environmental parameters from the communication itself.
  • This object is achieved according to the present invention through a method and a transmission device which has been set up in a corresponding manner to the method in which the course of convergence of the parameters in the model for the environment is monitored and conclusions about the environment are drawn from the course of convergence of the parameters.
  • the present invention makes use of the fact that the parameters used in the models for channel estimation in a radio environment, in which the transmission channel as such remains the same, converge to a specific value. That is, once the parameters have been determined, they no longer change within smaller limits. This applies in particular if the model, which performs radio modeling of the transmission, is well suited to the actual conditions.
  • the course of convergence of the parameters of a model for channel estimation therefore allows conclusions to be drawn about the actual environment of the receiver, so that the medium of the vehicle-to-environment communication may be used within certain limits as an environmental sensor of a motor vehicle or more generally of a receiver of the vehicle-to-environment communication.
  • multiple models are used for channel estimation within the method, a typical environment being assigned to each model, in which environment this model describes the radio channel especially well.
  • the parameters exhibit especially good convergence behavior; that is, they are essentially constant in time over a predefined meaningful evaluation period. Based on the convergence of the parameters in at least one model, it is then possible to select the suitable model and thus ascertain the environment of the receiver in the context of an environmental sensor system.
  • the convergence for the parameters may be evaluated simultaneously for a plurality of various models for channel estimation, which are assigned to different environments, the model having the best convergence, that is, the model in which the parameters currently change the least during the monitored time interval, being selected. This selection is valid for both determining the C2X communication parameters and ascertaining the environment of the communication subscriber in the context of the environmental sensor system.
  • a hysteresis value and/or a threshold value is assigned to the course of convergence of the parameters, especially after a change of the model for channel estimation, which must be exceeded before an additional change of the model for channel estimation occurs.
  • the course of convergence of the parameters for channel estimation may also be classified, wherein a value is assigned to each class, which indicates whether a switch must be made to a channel estimation model, and if so, to which.
  • the classification thus indicates that switching is not necessary.
  • classification which according to the present invention may also be carried out in addition to a selection from multiple different models based on the evaluation of the convergence behavior in each of these models, it is also generally possible to limit the evaluation of the convergence to just one model, thus saving computing time, and accordingly implementing the computing units more economically.
  • the channel estimation model after a change of the channel estimation model, it is possible to optimize a new model for channel estimation using data from the previous channel estimation and/or the vehicle-to-environment communication, the period from which the data is selected for optimization being parameterizable, depending on the model if applicable.
  • the time scale for using such data may logically lie in the range of seconds up to minutes, the duration in particular also being ascertainable as a function of the time constant of the change in convergence.
  • the model for channel estimation which enables a rough estimation of the environment in the context of a rough environmental sensor system
  • the current value of this parameter after forming its absolute value if necessary, may be logarithmized and averaged with various averaging time constants, wherein a difference, is formed from the value of the parameter and each of the various average values, and a sign change or transition in the differences is evaluated.
  • various averaging value filters having different averaging time constants may be used for this. From the evaluation result, it is possible to select a suitable model for the channel estimation.
  • aspect of the present invention also relates to a communication device for vehicle-to-environment communication (C2X) having a transmitter and/or receiver for transmitting and/or receiving communication messages in vehicle-to-environment communication and a computing unit equipped for carrying out the communication, wherein a method for channel estimation is also implemented in the computing unit.
  • C2X vehicle-to-environment communication
  • the prescribed method for channel estimation is completely or partially implemented in the computing unit.
  • FIG. 1 is a diagram that shows the convergence behavior of the parameters of various models A, B, C, and D over time;
  • FIG. 2 is a diagram that shows the convergence behavior of various parameters a, b, c of a model and the combined overall convergence of these parameters over time;
  • FIG. 3 is a flow diagram for carrying out the method according to the present invention according to a first specific embodiment
  • FIG. 4 is a flow diagram for carrying out the method according to the present invention according to a second specific embodiment.
  • FIG. 5 is a flow diagram for a possible evaluation of the convergence behavior of a parameter according to the present invention.
  • vehicle-to-environment communication for example, with the aid of automotive WLAN in accordance with the IEEE 802.11p standard, as well as other communication systems such as GPRS, EDGE, UMTS, LTE, WiMax, WLAN in accordance with IEEE 802.1a/b/g/n/etc., Bluetooth, ZigBee, or RKE key radio, so-called channel estimation methods are typically used, which model the physical properties of the transmission channel in order to be able to ascertain optimum settings for radio transmission.
  • FIG. 1 the convergences of a parameter are depicted for various models A, B, C, and D, which have been ascertained in a radio communication by the receiver, models A, B, C, D symbolizing various environments of the receiver.
  • These environments may, for example, be cities, open landscape, tunnels, or the like.
  • model B after initially poorer convergence, converges best, since the convergence curve becomes flatter with increasing time.
  • time derivative (d/dt) of the curve is considered. If no significant change results here, the parameter converges.
  • model C the curve here being somewhat steeper with increasing time.
  • Model A is subject to greater fluctuation over the period under consideration, and model D results in greater divergence with increasing time.
  • an evaluation of the divergence behavior would thus take place, for example, by evaluating the slope of the various divergence curves over time, a slope that is as low as possible expressing especially good convergence.
  • model B would thus be selected as the model having the optimal convergence, and would be used both for determining the settings in the vehicle-to-environment communication and for identifying the environment of the transmitter.
  • a model has multiple parameters, an evaluation of this kind may be performed for each parameter, a suitable weighting of the individual parameters then being predefined in order to select the optimal overall model.
  • FIG. 2 shows a differing practice, in which the various parameters a, b, and c of one model are combined into an overall convergence for the overall model.
  • An overall convergence of this kind would result, for example, for each of the various models A, B, C, D according to FIG. 1 , if multiple parameters are used in the model.
  • FIG. 3 an option for carrying out the method according to the present invention is proposed, in which a method for channel estimation is implemented in a computing unit of a communication device, in which the convergence is examined in parallel for a plurality of different models and, similarly to the depiction in FIG. 1 , the model having the best convergence is selected. For this purpose, the convergence of each of the models is determined, and the model having the best convergence is ascertained. This model is then used both for ascertaining the optimal communication settings and for ascertaining the environment, and thus acts as an environmental sensor according to the present invention.
  • additional detailing may be performed by taking into consideration an overall parameter or each individual parameter and its convergence.
  • the convergence of specific parameters may be used to infer the height of a development in a city, or the like.
  • This detailing takes place following the selection of a model from a predefined plurality of models, for each of which a convergence is calculated.
  • This method is relatively computationally intensive and may also be replaced by the following method described with reference to FIG. 4 .
  • the convergence of the model used directly for channel estimation of the transmission channel is ascertained, a classification of the convergence taking place which may be different from model to model and may contain the variability, slope of the convergence curve, or other criteria. From this classification, it is possible to derive the model that best describes the instantaneous transmission behavior in the transmission channel. It may be concluded that the present model already contains the best description, so that the environment is already described optimally. If the description of the environment is not optimal, the suitable new model may be selected directly based on the classification of the parameter or parameters.
  • FIG. 5 describes an option for evaluating the course of convergence of a parameter.
  • the shape of the curve of individual values of the parameter is determined, each determined value of the parameter being submitted to an evaluation scheme 2 as an input value 1 .
  • the input value in the illustrated example is subjected to three different calculations, each of which is based on the input value.
  • an absolute value formation 3 of the input value is performed.
  • the absolute value is then subjected to logarithmization 4 .
  • the logarithmized values from the shape of the curve of the parameter are then averaged in an average value formation, averaging periods of various lengths being taken as a basis using the average value filters “1”, “TP1”, and “TP2”.
  • a computing unit 6 the differences e between the current curve shape and the average value from the various average value filters “1”, “TP1”, and “TP2” are formed and are evaluated as differences e1, e2, and e3 in an analyzer 7 , which may be integrated into the computing unit 6 .
  • a transition or a sign change is in particular determined, which is a measure of the convergence.
  • a suitable model model 1, model 2, model 3 is selected for the channel estimation in a model selection 8 .

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Mobile Radio Communication Systems (AREA)
US14/112,478 2011-04-18 2012-03-07 Method for channel estimation in vehicle-to-environment communication and communication device arranged therefor Active US9143363B2 (en)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
DE102011017473.7 2011-04-18
DE102011017473 2011-04-18
DE102011017473A DE102011017473A1 (de) 2011-04-18 2011-04-18 Verfahren zur Kanalschatzung bei der Fahrzeug-zu-Umgebung- Kommunikation und dazu eingerichtete Kommunikationseinrichtung
PCT/EP2012/053911 WO2012143169A1 (de) 2011-04-18 2012-03-07 Verfahren zur kanalschätzung bei der fahrzeug-zu-umgebung-kommunikation und dazu eingerichtete kommunikationseinrichtung

Publications (2)

Publication Number Publication Date
US20140050258A1 US20140050258A1 (en) 2014-02-20
US9143363B2 true US9143363B2 (en) 2015-09-22

Family

ID=45992179

Family Applications (1)

Application Number Title Priority Date Filing Date
US14/112,478 Active US9143363B2 (en) 2011-04-18 2012-03-07 Method for channel estimation in vehicle-to-environment communication and communication device arranged therefor

Country Status (5)

Country Link
US (1) US9143363B2 (de)
EP (1) EP2700179A1 (de)
CN (1) CN103477577B (de)
DE (1) DE102011017473A1 (de)
WO (1) WO2012143169A1 (de)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102014226141B4 (de) * 2014-12-16 2016-08-25 Continental Automotive Gmbh Verfahren zum Empfang von Rundfunksignalen in einem Empfangsgerät und Empfangsgerät
EP3352028A1 (de) * 2017-01-23 2018-07-25 dSPACE digital signal processing and control engineering GmbH Verfahren zum test einer steuergerätefunktion eines steuergeräts eines fahrzeugs

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6563861B1 (en) * 1999-03-22 2003-05-13 Ericsson, Inc. Doppler spread estimation system
US6680969B1 (en) * 1999-03-22 2004-01-20 Ericsson, Inc. Methods for estimating doppler spreads including autocorrelation function hypotheses and related systems and receivers
DE10256620A1 (de) 2002-12-03 2004-07-08 Daimlerchrysler Ag Radarsystem mit integrierter Datenübertragung
US20040176038A1 (en) * 2002-12-06 2004-09-09 Tao Luo Method and apparatus of signal estimation over generalized fading channel
US20060013340A1 (en) * 2004-07-15 2006-01-19 Nokia Corporation Multiple hypothesis channel estimation and prediction for OFDM systems
US20060149475A1 (en) 2005-01-05 2006-07-06 Kellum Carroll C Determining relative spatial information between vehicles
WO2008085093A1 (en) 2007-01-10 2008-07-17 Telefonaktiebolaget Lm Ericsson (Publ) Method for classifying radio channels

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6563861B1 (en) * 1999-03-22 2003-05-13 Ericsson, Inc. Doppler spread estimation system
US6680969B1 (en) * 1999-03-22 2004-01-20 Ericsson, Inc. Methods for estimating doppler spreads including autocorrelation function hypotheses and related systems and receivers
DE10256620A1 (de) 2002-12-03 2004-07-08 Daimlerchrysler Ag Radarsystem mit integrierter Datenübertragung
US20060164292A1 (en) 2002-12-03 2006-07-27 Josef Buechler Radar system comprising integrated data transmission
US20040176038A1 (en) * 2002-12-06 2004-09-09 Tao Luo Method and apparatus of signal estimation over generalized fading channel
US20060013340A1 (en) * 2004-07-15 2006-01-19 Nokia Corporation Multiple hypothesis channel estimation and prediction for OFDM systems
US20060149475A1 (en) 2005-01-05 2006-07-06 Kellum Carroll C Determining relative spatial information between vehicles
WO2006073691A2 (en) 2005-01-05 2006-07-13 General Motors Corporation Determining relative spatial information between vehicles
WO2008085093A1 (en) 2007-01-10 2008-07-17 Telefonaktiebolaget Lm Ericsson (Publ) Method for classifying radio channels
US20100081426A1 (en) 2007-01-10 2010-04-01 Telefonaktiebolaget L M Ericsson (Publ) Method for Classifying Radio Channels

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Johan Karedal, Fredrik Tufvesson, Nicolai Czink, Alexander Paier, Charlotte Dumard, Thomas Zemen, Christoph F. Mecklenbräuker, Andreas F. Molisch; "A Geometry-Based Stochastic MIMO Model for Vehicle-to-Vehicle Communications"; IEEE Transactions of Wireless Communications, vol. 8, No. 7, Jul. 1, 2009, pp. 3646-3657, XP011264139, ISSN: 1536-1276.

Also Published As

Publication number Publication date
EP2700179A1 (de) 2014-02-26
CN103477577A (zh) 2013-12-25
WO2012143169A1 (de) 2012-10-26
DE102011017473A1 (de) 2012-10-18
US20140050258A1 (en) 2014-02-20
CN103477577B (zh) 2016-08-17

Similar Documents

Publication Publication Date Title
KR102218144B1 (ko) 차량 인근에 배치된 원격 송신기의 위치를 결정하기 위한 방법
CN103414527B (zh) 一种基于能量检测的信号检测方法
CN102893540B (zh) 信号传输方法、发射机和信号传输系统
US9278589B2 (en) Low line TPMS: sensor association using RSSI and doppler signatures with a single or multiple ECUs
US8731855B2 (en) Method and device for monitoring the noise from a sensor
CN102598521A (zh) 无线通信链路的表征
WO2006073691A3 (en) Determining relative spatial information between vehicles
WO2013104621A3 (en) Method and device for providing driver feedback
CN110226309A (zh) 用于对机动车辆中数据网络的监测装置进行操作的方法以及监测装置、控制设备和机动车辆
US9143363B2 (en) Method for channel estimation in vehicle-to-environment communication and communication device arranged therefor
CN117221786A (zh) 一种车载音响系统的响度补偿方法及车载音响系统
KR20120086023A (ko) 카오스 특성을 이용한 인지 무선 통신 시스템 엔진 유닛
KR100864213B1 (ko) 전력선 통신 채널에서의 배경잡음의 모델링 방법
CN105187142A (zh) 一种空闲频谱探测的方法和装置
Choi et al. Channel estimations using extended orthogonal codes for AF multiple-relay networks over frequency-selective fading channels
US20240284499A1 (en) Wireless communication system and wireless communication method
CN114980159B (zh) 测量方法、装置、基带芯片、终端及存储介质
JP7214059B1 (ja) 周波数制御装置、制御回路、記憶媒体および周波数制御方法
KR102549516B1 (ko) 차량 거동에 영향을 미치기 위한 방법 및 장치
KR102149610B1 (ko) Ofdm 시스템에서의 mrc 기반 채널추정장치 및 그 채널추정방법
Treeumnuk et al. Energy detector with adaptive sensing window for improved spectrum utilization in dynamic cognitive radio systems
CN106877950A (zh) 一种适用于车载短距离通信网络的无线认知信道评价选择方法
CN102355439A (zh) 通信系统中基于无限成分数的t混合模型的调制信号的盲检测方法
CN106209308A (zh) Cqi上报方法及装置、基站和终端
CN112511479A (zh) 一种载波通信方法

Legal Events

Date Code Title Description
AS Assignment

Owner name: CONTINENTAL AUTOMOTIVE GMBH, GERMANY

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:MENZEL, MARC;SCHR?BLER, SIGHARD;ST?HLIN, ULRICH;SIGNING DATES FROM 20130926 TO 20130930;REEL/FRAME:031428/0339

STCF Information on status: patent grant

Free format text: PATENTED CASE

FEPP Fee payment procedure

Free format text: PAYOR NUMBER ASSIGNED (ORIGINAL EVENT CODE: ASPN); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY

MAFP Maintenance fee payment

Free format text: PAYMENT OF MAINTENANCE FEE, 4TH YEAR, LARGE ENTITY (ORIGINAL EVENT CODE: M1551); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY

Year of fee payment: 4

MAFP Maintenance fee payment

Free format text: PAYMENT OF MAINTENANCE FEE, 8TH YEAR, LARGE ENTITY (ORIGINAL EVENT CODE: M1552); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY

Year of fee payment: 8

AS Assignment

Owner name: CONTINENTAL AUTOMOTIVE TECHNOLOGIES GMBH, GERMANY

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:CONTINENTAL AUTOMOTIVE GMBH;REEL/FRAME:070441/0899

Effective date: 20241211

Owner name: CONTINENTAL AUTOMOTIVE TECHNOLOGIES GMBH, GERMANY

Free format text: ASSIGNMENT OF ASSIGNOR'S INTEREST;ASSIGNOR:CONTINENTAL AUTOMOTIVE GMBH;REEL/FRAME:070441/0899

Effective date: 20241211